Interpretation of gravity data for fault distribution near the Mongolia–Hinggan metallogenic belt in the eastern China-Mongolia frontier area

doi:10.1007/s11707-016-0653-0

Front. Earth Sci.

2018, Vol. 12

Issue (4) : 808-817 https://doi.org/10.1007/s11707-016-0653-0

RESEARCH ARTICLE

Interpretation of gravity data for fault distribution near the Mongolia–Hinggan metallogenic belt in the eastern China-Mongolia frontier area

Jun WANG^1,²(

), Xiaohong MENG^1,²(

), Zhaoxi CHEN^1,², Fang LI³

¹. Key Laboratory of Geo-detection (China University of Geosciences, Beijing), Ministry of Education, Beijing 100083, China
². School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China
³. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China

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Abstract

The Central Asian Orogenic Belt (CAOB) is a giant suture zone produced by the reduction of the Paleo-Asian Ocean between the Siberian, North China, and Tarim cratons. The CAOB formed in three main stages, including continental accretion, late collision, and intracontinental orogeny. Strong crust-mantle interaction also occurred during these stages. The eastern China-Mongolia frontier area is an important part of the CAOB. Since the Caledonian period, this region has frequently experienced polycyclic tectonic reformation and intense magmatic activities. All of these geological activities lay the foundation for abundant metal resources. In the past, several large metal ore deposits have been founded there. However, the deep structure of different tectonic units and the fault distribution in the eastern China-Mongolia border frontier area are still not clear owing to the complex geological environment. Existing works in that region are insufficient for an in-depth understanding of the metallogenic deposits. The work discussed in this paper was carried out in the eastern China-Mongolia frontier area with measured gravity data along a profile and gravity data extracted from the WGM2012 earth’s gravity model for detailed fault distribution. In this study, empirical mode decomposition (EMD) and tilt angle analysis (TDR) were utilized for processing the gridded gravity data. The measured gravity data were inverted with a 2D inversion algorithm for density distribution along the survey line. The inversion result was used to verify the existence of known faults and describe their deeper extensions. Meanwhile, new faults were also identified along the survey line and then marked on the gridded data to get their horizontal distribution. These results provide significant information for the in-depth understanding of the tectonic units in the study area.

Keywords the CAOB China-Mongolia frontier area gravity data processing and inversion fault distribution

Corresponding Author(s): Jun WANG,Xiaohong MENG

Online First Date: 13 August 2018 Issue Date: 20 November 2018

Cite this article:

Jun WANG,Xiaohong MENG,Zhaoxi CHEN, et al. Interpretation of gravity data for fault distribution near the Mongolia–Hinggan metallogenic belt in the eastern China-Mongolia frontier area[J]. Front. Earth Sci., 2018, 12(4): 808-817.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-016-0653-0
https://academic.hep.com.cn/fesci/EN/Y2018/V12/I4/808

Fig.1 Map showing location of the research area.

Tab.1 Descriptions of the existing major faults

Fig.2 (a) Bouguer gravity along the settled profile; (b)?(e) various intrinsic mode functions of the empirical mode decomposition of the measured gravity anomaly. The ‘Res’ can be expressed as Res=Original data – (IMF1+IMF2+…+IMF7).

Fig.3 (a) Bouguer gravity data extracted from the WGM2012 earth's gravity model; (b) The separated residual gravity data based EMD; (c) The separated regional gravity data based EMD.

Fig.4 Flow chart of the researches conducted in this study.

Fig.5 (a) TDR analysis of the residual gravity data; (b) TDR analysis of the regional gravity data. In these two figures, the black lines denote existing faults.

Fig.6 Integrated analysis of the inversion results of gravity data and MT data.

Tab.2 Reliability assessment of these existing faults

Fig.7 Analysis of the TDR result for new potential faults in the study area.

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